Process of Learning from Demonstration with Paraconsistent Artificial Neural Cells for Application in Linear Cartesian Robots

Process of Learning from Demonstration with Paraconsistent Artificial Neural Cells for Application in Linear Cartesian Robots

Paraconsistent Annotated Logic (PAL) is a type of non-classical logic based on concepts that allow, under certain conditions, for one to accept contradictions without invalidating conclusions. The Paraconsistent Artificial Neural Cell of Learning (<i>l</i>PANCell) algorithm was created f...

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Bibliographic Details
Main Authors: João Inácio Da Silva Filho, Cláudio Luís Magalhães Fernandes, Rodrigo Silvério da Silveira, Paulino Machado Gomes, Sérgio Luiz da Conceição Matos, Leonardo do Espirito Santo, Vander Célio Nunes, Hyghor Miranda Côrtes, William Aparecido Celestino Lopes, Mauricio Conceição Mario, Dorotéa Vilanova Garcia, Cláudio Rodrigo Torres, Jair Minoro Abe, Germano Lambert-Torres
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Robotics
Subjects:
paraconsistent annotated logic
paraconsistent artificial neural cell
learning from demonstration
Cartesian robot
machine learning
Online Access:https://www.mdpi.com/2218-6581/12/3/69

Internet

https://www.mdpi.com/2218-6581/12/3/69

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